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A Regional Climate Model Simulation for EURO-CORDEX with the WRF Model

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Sustained Simulation Performance 2013

Abstract

In order to provide high-resolution ensembles and comparisons of regional climate simulations, the World Climate Research Program (WCRP) initiated the COordinated Regional climate Downscaling Experiment (CORDEX). CORDEX is performed in preparation of the fifth assessment report of the Intergovernmental Panel on Climate Change (IPCC AR5) (Giorgi et al., WMO Bull 58:175–183, 2009). Verification runs for CORDEX are performed for most continents for a 20-year period (1989–2009) driven by ERA-interim data from the European Centre for Medium Range Weather Forecast (ECMWF). For Europe (EURO-CORDEX, http://www.euro-cordex.net) an ensemble of regional climate model simulations from 1989 to 2008 on 0. 11∘, 0. 22∘ and 0. 44∘ has been completed in May 2012. The University of Hohenheim contributed to EURO-CORDEX with a simulation with Weather Research and Forecast (WRF) model on the CRAY XE6 of the High Performance Computing Center Stuttgart (HLRS) of the University of Stuttgart. The model consists of a spatial grid of 424*412*54 grid cells and is run with a timestep of 60 s on 1,280 processors. Three-hourly output of the atmospheric and terrestrial variables is written to daily netcdf-files each of the size of 8.5 GB. The simulations’ set up is described and a comparison of the results to an observational precipitation data set for Germany is shown.

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References

  1. Beniston, M., D.B. Stephenson, O.B. Christensen, C.A.T. Ferro, C. Frei, S. Goyette, K. Halsnaes, T. Holt, K. Jylhü, B. Koffi, J. Palutikoff, R. Schöll, T. Semmler, and K. Woth, 2007: Future extreme events in European climate; an exploration of Regional Climate Model projections. Climatic Change 81, 71–95.

    Article  Google Scholar 

  2. Behrendt, A., S. Pal, F. Aoshima, M. Bender, A. Blyth, U. Corsmeier, J. Cuesta, G. Dick, M. Dorninger, C. Flamant, P. Di Girolamo, T. Gorgas, Y. Huang, N. Kalthoff, S. Khodayar, H. Mannstein, K. Träumner, A. Wieser, and V. Wulfmeyer, 2011: Observation of Convection Initiation Processes with a Suite of State-of-the-Art Research Instruments during COPS IOP8b. COPS Special Issue of the Q. J. R. Meteorol. Soc. 137, 81–100, DOI:10.1002/qj.758.

    Article  Google Scholar 

  3. Brockhaus, P., D. Lüthi, and C. Schär, 2008. Aspects of the Diurnal Cycle in a Regional Climate Model. Meteorol. Z., 17 (4), 433–443.

    Article  Google Scholar 

  4. Chen, F., and J. Dudhia, 2001a. Coupling an advanced landsurface/ hydrology model with the penn state NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon Weather Rev, 129, 569–585.

    Article  Google Scholar 

  5. Chen, F. and J. Dudhia,2001b. Coupling an advanced landsurface/ hydrology model with the penn state NCAR MM5 modeling system. Part II: Preliminary model validation. Mon Weather Rev, 129, 587–604.

    Article  Google Scholar 

  6. Corsmeier, U., N. Kalthoff, Ch. Barthlott, A. Behrendt, P. Di Girolamo, M. Dorninger, F. Aoshima, J. Handwerker, Ch. Kottmeier, H. Mahlke, St. Mobbs, G. Vaughan, J. Wickert, and V. Wulfmeyer, 2011: Driving processes for deep convection over complex terrain: A multi-scale analysis of observations from COPS-IOP 9c. COPS Special Issue of the Q. J. R. Meteorol. Soc. 137, 137–155, DOI:10.1002/qj.754.

    Google Scholar 

  7. Christensen, J.H., and O.B. Christensen, 2007: A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Climatic Change 81, 7–30.

    Article  Google Scholar 

  8. Christensen, J.H., T.R. Carter, M. Rummukainen and G. Amanatidis, 2007: Evaluating the performance and utility of regional climate models: the PRUDENCE project. Climatic Change 81, 1–6.

    Article  Google Scholar 

  9. Dee, D.P. et al., 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553–597.

    Article  Google Scholar 

  10. Déqué, M., D.P. Rowell, D. Lüthi, F. Giorgi, J.H. Christensen, B. Rockel, D. Jacob, E. Kjellström, M. De Castro, and B. van den Hurk, 2007: An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Climatic Change 81, 53–70.

    Article  Google Scholar 

  11. Doherty, S.J., S. Bojinski, A. Henderson-Sellers, K. Noone, D. Goodrich, N.L. Bindoff, J.A. Church, K.A. Hibbard, T.R. Karl, L. Kajfez-Bogataj, A.H. Lynch, D.E. Parker, I.C. Prentice, V. Ramaswamy, R.W. Saunders, M.S. Smith, K. Steffen, T.F. Stocker, P.W. Throne, K.E. Trenberth, M.M. Verstraete, and F.W. Zwiers, 2009: Lessons learned from IPCC AR4: Scientific Developments Needed to Understand, predict and respond to climate change. Bull. Amer. Meteor. Soc., 90, 497–513.

    Article  Google Scholar 

  12. Ehret, U., E. Zehe, V.Wulfmeyer, K. Warrach-Sagi, J. Liebert, 2012: HESS Opinions - Should we apply Bias Correction to Global and Regional Climate Model Data? Hydrol. Earth Syst. Sci. Discuss. 9, 5355–5387.

    Article  Google Scholar 

  13. Feldmann, H., B. Früh, G. Schädler, H.-J. Panitz, K. Keuler, D. Jacob, and P. Lorenz, 2008. Evaluation of the Precipitation for South-western Germany from High Resolution Simulations with Regional Climate Models. Meteorologische Zeitschrift 17, 455–465.

    Article  Google Scholar 

  14. Früh, B., H. Feldmann, H.-J. Panitz, G. Schädler, D. Jacob, P. Lorenz, and K. Keuler, 2010: Determination of precipitation return values in complex terrain and their evaluation. J. Climate 23, 2257–2274. doi: 10.1175/2009JCLI2685.1.

    Article  Google Scholar 

  15. Giorgi, F., C. Jones, and G. Asrar, 2009: Addressing climate information needs at the regional level: The CORDEX framework. WMO Bulletin 58, 175–183.

    Google Scholar 

  16. Greve, P., K. Warrach-Sagi and V. Wulfmeyer, 2013: Evaluating Soil Water Content in a WRF-NOAH Downscaling Experiment. J. Applied Met. and Climatol., submitted.

    Google Scholar 

  17. IPCC, 2007: Climate change 2007: The physical science basis. Solomon, S., D. Qin, M. Manning, L. Chen, M. Marquis, K.B. Avery, M. Tignor, and H.L. Miller (eds.), Cambridge University Press, Cambridge, 996pp.

    Google Scholar 

  18. Jacob, D., L. Bähring, O.B. Christensen, J.H. Christensen, S. Hagemann, M. Hirschi, E. Kjellström, G. Lenderink, B. Rockel, C. Schär, S.I. Seneviratne, S. Somot, A. van Ulden, and B. van den Hurk, 2007: An intercomparison of regional climate models for Europe: Design of the experiments and model performance. PRUDENCE special issue, Climatic Change, 81, Supplement 1, May 2007.

    Google Scholar 

  19. Jaeger, E.B., I. Anders, D. Lüthi, B. Rockel, C. Schär, and S. I. Seneviratne, 2008: Analysis of ERA40-driven CLM simulations for Europe. Meteorol. Z. 17, 349–367.

    Article  Google Scholar 

  20. Morrison, H. and A. Gettelman, 2008: A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests. J. Climate, 21, 3642–3659.

    Google Scholar 

  21. Schwitalla, T., H.-S. Bauer, V. Wulfmeyer, and F. Aoshima, 2011: High-resolution simulation over central Europe: Assimilation experiments with WRF 3DVAR during COPS IOP9c. Q. J. R. Meteorol. Soc. 137, 156–175, DOI:10.1002/qj.721.

    Article  Google Scholar 

  22. Skamarock, W.C., J.B. Klemp, J. Dudhia, D.O. Gill, D.M. Barker, M.G. Duda, X.-Y. Huang, W. Wang, and J.G. Powers, 2008: A description of the Advanced Research WRF version 3. NCAR Tech Note, TN-475 + STR, 113pp.

    Google Scholar 

  23. Thuburn, T.: Some conservation issues for dynamical cores of NWP and climate models. J. Comp. Phys., 227 (2008), 3715–3730.

    Article  MathSciNet  MATH  Google Scholar 

  24. Richter D. (1995) Ergebnisse methodischer Untersuchungen zur Korrektur des systematischen Messfehlers des Hellmann-Nie-derschlagsmessers. Berichte des Deutschen Wetterdienstes 194: 93 pp

    Google Scholar 

  25. Vautard, R., A. Gobiet, D. Jacob, M. Belda, A. Colette, M. Deque, J. Fernandez, M. Garcia-Diez, K. Goergen, I. Guettler, T. Halenka, K. Keuler, S. Kotlarski, G. Nikulin, M. Patarcic, M. Suklitsch, C. Teichmann, K. Warrach-Sagi, V. Wulfmeyer and P. Yiou, 2013: The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project, Climate Dynamics, 10.1007/s00382-013-1714-z.

    Google Scholar 

  26. Warrach-Sagi, K., T. Schwitalla, V. Wulfmeyer and H.-S. Bauer, 2013: Evaluation of a CORDEX-Europe simulation with WRF: precipitation in Germany, Climate Dynamics, DOI 10.1007/s00382-013-1727-7

    Google Scholar 

  27. WMO, 2010: Strategic plan for implementation of WMO’s World Weather Research Programm 2009–2017. World Meteorological Organization, Geneva, Switzerland. Available online at: http://www.wmo.int/pages/prog/arep/wwrp/new/documents/final_WWRP_SP_6_Oct.pdf.

  28. Wulfmeyer, V., A. Behrendt, Ch. Kottmeier, U. Corsmeier, C. Barthlott, G.C. Craig, M. Hagen, D. Althausen, F. Aoshima, M. Arpagaus, H.-S. Bauer, L. Bennett, A. Blyth, C. Brandau, C. Champollion, S. Crewell, G. Dick, P. Di Girolamo, M. Dorninger, Y. Dufournet, R. Eigenmann, R. Engelmann, C. Flamant, T. Foken, T. Gorgas, M. Grzeschik, J. Handwerker, C. Hauck, H. Höller, W. Junkermann, N. Kalthoff, C. Kiemle, S. Klink, M. König, L. Krauss, C.N. Long, F. Madonna, S. Mobbs, B. Neininger, S. Pal, G. Peters, G. Pigeon, E. Richard, M.W. Rotach, H. Russchenberg, T. Schwitalla, V. Smith, R. Steinacker, J. Trentmann, D.D. Turner, J. van Baelen, S. Vogt, H. Volkert, T. Weckwerth, H. Wernli, A. Wieser, and M. Wirth, 2011: The Convective and Orographically Induced Precipitation Study (COPS): The Scientific Strategy, the Field Phase, and First Highlights. COPS Special Issue of the Q. J. R. Meteorol. Soc. 137, 3–30, DOI:10.1002/qj.752.

    Article  Google Scholar 

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Acknowledgements

Kirsten Warrach-Sagi thanks the German Science Foundation for her funding within the frame of the integrated research project PAK 346/FOR 1695 Structure and function of agricultural landscapes under global climate change – Processes and projections on a regional scale. Further we acknowledge the REGNIE data from the German Weather Service. The authors thank the HLRS staff for the permission and support of the simulations on the High Performance Computer in Stuttgart. The simulations were carried out in collaboration with the WESS (Water and Earth System Science) Consortium funded by the BMBF and UFZ Leipzig.

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Authors and Affiliations

  1. Institut für Physik und Meteorologie, Universität Hohenheim, Garbenstr. 30, 70599, Stuttgart, Germany

    Kirsten Warrach-Sagi, Thomas Schwitalla, Hans-Stefan Bauer &  Volker-Wulfmeyer

Authors
  1. Kirsten Warrach-Sagi
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  2. Thomas Schwitalla
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  3. Hans-Stefan Bauer
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  4. Volker-Wulfmeyer
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Corresponding author

Correspondence to Kirsten Warrach-Sagi .

Editor information

Editors and Affiliations

  1. University of Stuttgart, High Performance Computing Center, Stuttgart, Germany

    Michael M. Resch

  2. NEC High Performance Computing Europe GmbH, Düsseldorf, Germany

    Wolfgang Bez

  3. NEC High Performance Computing Europe, Stuttgart, Germany

    Erich Focht

  4. Tohoku University Cyberscience Center, Sendai, Japan

    Hiroaki Kobayashi

  5. University of Stuttgart, High Performance Computing Center, Stuttgart, Germany

    Yevgeniya Kovalenko

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© 2013 Springer International Publishing Switzerland

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Warrach-Sagi, K., Schwitalla, T., Bauer, HS., Volker-Wulfmeyer (2013). A Regional Climate Model Simulation for EURO-CORDEX with the WRF Model. In: Resch, M., Bez, W., Focht, E., Kobayashi, H., Kovalenko, Y. (eds) Sustained Simulation Performance 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-01439-5_11

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